Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

The Fault Diagnosis of Rolling Bearing based on MED and HHT

Authors
Zhidong Wang, Rui Huo, Daokun Zhang
Corresponding Author
Zhidong Wang
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.53How to use a DOI?
Keywords
Rolling bearing; Optimal filter; Minimum entropy deconvolution; HHT; Fault Diagnosis
Abstract

As an essential part of rotating machinery, the early fault diagnosis of rolling bearing can improve the safety of mechanical operation. What’s more, the machining accuracy can be effectively ensured. Unfortunately, the early fault signal of rolling bearing is extremely weak, which can be easily covered by others. And the endpoint effect will appear in several Intrinsic Mode functions (IMFs) when it is decomposed by Hilbert-Huang transform (HHT), which makes it be difficult to find the fault position accurately. To get the real components, the minimum Entropy Deconvolution (MED) method is proposed here to obtain the effective impact components with an inverse filter, which can improve the signal-to-noise ratio. The MED method which can effectively extract the useful information of the rolling bearing’s fault signal, and fully suppress the endpoint effect of Empirical Mode decomposition (EMD), as well as greatly improve the ability to precisely find the fault position, which has been confirmed by a lot of experiments, which has a great practical value in the practical production.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-6252-102-5
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.53How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhidong Wang
AU  - Rui Huo
AU  - Daokun Zhang
PY  - 2015/07
DA  - 2015/07
TI  - The Fault Diagnosis of Rolling Bearing based on MED and HHT
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 278
EP  - 282
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.53
DO  - 10.2991/lemcs-15.2015.53
ID  - Wang2015/07
ER  -